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Neuroimage. 2016 Nov 15;142:188-197. doi: 10.1016/j.neuroimage.2016.07.035. Epub 2016 Jul 16.

Intra- and interscanner variability of magnetic resonance imaging based volumetry in multiple sclerosis.

Author information

1
Neurology, Technische Universität München, Ismaninger Str. 22, 81675 Munich, Germany; TUM-Neuroimaging Center, Technische Universität München, Munich, Germany. Electronic address: viola.biberacher@tum.de.
2
TUM-Neuroimaging Center, Technische Universität München, Munich, Germany; Statistics, Ludwig-Maximilians-Universität München, Ludwigstr. 33, 80539 Munich, Germany.
3
Neurology, University of California San Francisco, 675 Nelson Rising Lane, San Francisco, CA 94158, United States.
4
Neurology, Technische Universität München, Ismaninger Str. 22, 81675 Munich, Germany; TUM-Neuroimaging Center, Technische Universität München, Munich, Germany.
5
Neuroimaging Core Unit, Max Planck Institute of Psychiatry, Kraepelinstr. 2-10, 80804 Munich, Germany.
6
Neuroradiology, Technische Universität München, Ismaninger Str. 22, 81675 Munich, Germany.
7
Neurology, Technische Universität München, Ismaninger Str. 22, 81675 Munich, Germany.
8
Neurology, Technische Universität München, Ismaninger Str. 22, 81675 Munich, Germany; Munich Cluster for Systems Neurology (SyNergy), Feodor-Lynen-Str. 17, 81377 Munich, Germany.

Abstract

Brain volumetric measurements in multiple sclerosis (MS) reflect not only disease-specific processes but also other sources of variability. The latter has to be considered especially in multicenter and longitudinal studies. Here, we compare data generated by three different 3-Tesla magnetic resonance scanners (Philips Achieva; Siemens Verio; GE Signa MR750). We scanned two patients diagnosed with relapsing remitting MS six times per scanner within three weeks (T1w and FLAIR, 3D). We assessed T2-hyperintense lesions by an automated lesion segmentation tool and determined volumes of grey matter (GM), white matter (WM) and whole brain (GM+WM) from the lesion-filled T1-weighted images using voxel-based morphometry (SPM8/VBM8) and SIENAX (FSL). We measured cortical thickness using FreeSurfer from both, lesion-filled and original T1-weighted images. We quantified brain volume changes with SIENA. In both patients, we found significant differences in total lesion volume, global brain tissue volumes and cortical thickness measures between the scanners. Morphometric measures varied remarkably between repeated scans at each scanner, independent of the brain imaging software tool used. We conclude that for cross-sectional multicenter studies, the effect of different scanners has to be taken into account. For longitudinal monocentric studies, the expected effect size should exceed the size of false positive findings observed in this study. Assuming a physiological loss of brain volume of about 0.3% per year in healthy adult subjects (Good et al., 2001), which may double in MS (De Stefano et al., 2010; De Stefano et al., 2015), with current tools reliable estimation of brain atrophy in individual patients is only possible over periods of several years.

KEYWORDS:

Magnetic resonance imaging; Multiple sclerosis; Scanner-related variability

[Indexed for MEDLINE]

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